Triple

T3108253
Position Surface form Disambiguated ID Type / Status
Subject Charles Woodson E64886 entity
Predicate name P16 FINISHED
Object Charles Woodson E64886 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Charles Woodson | Statement: [Charles Woodson, name, Charles Woodson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Woodson
Context triple: [Charles Woodson, name, Charles Woodson]
  • A. Charles Woodson chosen
    Charles Woodson is a Hall of Fame American football defensive back and Heisman Trophy winner who starred at the University of Michigan before a long NFL career with the Oakland Raiders and Green Bay Packers.
  • B. Champ Bailey
    Champ Bailey is a Pro Football Hall of Fame cornerback widely regarded as one of the greatest defensive backs in NFL history.
  • C. Charles Tillman
    Charles Tillman is a former NFL cornerback, primarily for the Chicago Bears, renowned for his forced fumbles, community service, and leadership on and off the field.
  • D. Ray Lewis
    Ray Lewis is a Hall of Fame former NFL linebacker renowned as the emotional and defensive leader of the Baltimore Ravens during his 17-season career.
  • E. Ray Lewis
    Ray Lewis is an English former football referee best known for officiating in the top tiers of English football, including high-profile and historically significant matches.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29eacc88190a19c5ca8e53e3dca completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f5cfc7c8190b867794c0e9a271e completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.